Category: Amazon SageMaker Data Wrangler

In last week’s AWS Week in Review post, Danilo mentioned that it’s summer in London. Well, I’m based in Singapore, and it’s mostly summer here. But, June is a special month here as it marks the start of durian season. Starting next week, I’ll be travelling to Thailand, Malaysia, and the Philippines. But before I […]

To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between machine learning engineers, data engineers, and data scientists to implement the data preparation pipeline into a production environment. The main objective of […]

Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process for data preparation starts with collecting data, then cleaning it, labeling it, and finally validating and visualizing it. Getting the data right with high quality […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! Last Week’s Launches I made a short trip to Austin, Texas last week in order to visit and learn from some customers. As is always the case, the days when […]